Engineering Intelligent Software with Generative AI

Engineering Intelligent Software with Generative AI by Nithish Yadav Thotla is a comprehensive academic and professional guide to designing, developing, evaluating, and deploying intelligent software applications using modern artificial intelligence technologies. The book connects the theoretical foundations of generative AI with the practical engineering principles required to build reliable, secure, and scalable software systems.
Organised into 16 chapters, it explores machine learning, deep learning, generative models, large language models, transformer architecture, prompt engineering, retrieval-augmented generation (RAG), fine-tuning, intelligent agents, and enterprise AI architecture. It also addresses data engineering, software development lifecycles, application integration, model evaluation, responsible AI, cybersecurity, MLOps, and LLMOps.
Moving beyond model capabilities, the book emphasises the importance of requirements engineering, systematic testing, operational monitoring, human oversight, and governance in real-world generative AI applications. Practical examples, reference architectures, comparison tables, learning objectives, review questions, deployment checklists, and laboratory exercises help readers connect essential concepts with implementation decisions.
The discussion extends to emerging technologies, including multimodal AI, domain-specific language models, agentic systems, edge AI, neuro-symbolic approaches, and sustainable artificial intelligence.
Designed for senior undergraduate and postgraduate students, software engineers, AI developers, system architects, data professionals, researchers, and technical managers, this book provides a structured learning resource for understanding generative AI engineering and integrating intelligent capabilities into dependable software products.